SurvMicro: assessment of miRNA based prognostic signatures for cancer clinical outcomes by multivariate survival analysis
Raul Aguirre-Gamboa and Victor Treviño (vtrevino [at] itesm.mx)
Bioinformatics. 2014 Jun 1;30(11):1630-2. doi: 10.1093/bioinformatics/btu087.
Acknowledgments: ITESM grant CAT220, CONACyT grants 83929 and 140601.
Interface v0.9., Database Update = Feb 24, 2019 1:56:02 AM
Tissues = 15, Datasets = 43, Samples = 6412
Given the high demand that occasionally hang the server and the scarce computational and human resources in our lab, this service will be reset each day around 04:00am CST (CST=[UTC/GMT]-6 hours, no summer correction) lasting about one minute.
Relaxed search (gets all variants in DB)
Strict search (variant specific)
Using the option "Strict search" will perform a search looking for the specific variant in the dataset.
The "Relax Search" option will bring all variants of the query miRNA present in the dataset.
Head and Neck (3)
Tissue or preferred database not listed ? (or found an error)
Please, share your data with us by e-mailing corresponding author.
For TCGA datasets, please see
TCGA Publication Guidelines
Please cite SurvMicroRNA and datasets authors properly.
Select a tissue
(a) Duplicated genes:
Average : All probe sets/records will be averaged per sample.
Maximum row average : The "most expressed" row will be used.
Maximum row variance : The "most dispersed" row will be used.
Show all : All rows will be presented in the analysis. Use this if you have no clue.